About

Hello! I am a fifth year PhD candidate at the Operations Research Center of Massachusetts Institute of Technology (MIT). I work with Prof. Dimitris Bertsimas on developing machine learning and optimization algorithms for climate change adaptation and sustainability . In the future, I hope to develop technological solution to tackle issues related to climate change.

Previously, I have worked as a quantitative investment analyst at BlackRock, and an investment analyst at SoftBank Vision Fund China. I received my Bachelor's degree in Mathematics from Imperial College London. You can find my CV here.

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Publications

• Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
  L. Boussioux*, C. Zeng*, T. Guénais, D. Bertsimas
  Weather and Forecasting, 37(6), 817-831 (2022)
  Appeared at NeurIPS, Tackling Climate Change with AI, 2021 (spotlight talk)
• Integrated Multimodal Artificial Intelligence Framework for Healthcare Applications
  L. Soenksen*, Y. Ma*, C. Zeng*, L. Boussioux*, K. Carballo*, I. Na*, H. Wiberg, M. Li, I. Fuentes, D. Bertsimas
  npj Nature Digital Medicine, 2022, 5 (1), 1-10 (2022)
• From Predictions to Prescriptions: A Data-Driven Response to COVID-19
  (alphabetical) D. Bertsimas, L. Boussioux, R. Cory Wright, A. Delarue, V. Digalakis Jr., A. Jacquillat, et. al.
  Health Care Management Science, 24, 253–272 (2020)
  INFORMS Pierskalla Best Paper Award, 2020
• Combining Social, Environmental and Design Models to Support the Sustainable Development Goals
  J. Reed, C. Zeng*, D. Wood
  2019 IEEE Aerospace Conference

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Preprints

• Catastrophe Insurance: A Robust Optimization Approach
  D. Bertsimas, C. Zeng*
  In preparation for Management Science
• Reducing Air Pollution through Machine Learning
  (alphabetical) D. Bertsimas, L. Boussioux, C. Zeng*
  In preparation for Manufacturing & Services Operations Management
  2nd Place for INFORMS Doing Good with Good OR Award, 2023
• TabText: a Systematic Approach to Aggregate Knowledge Across Tabular Data Structures
  D. Bertsimas, K. Carballo, Y. Ma, I. Na, L. Boussioux, C. Zeng*, L. Soenksen, I. Fuentes
  In preparation for Nature Machine Intelligence
• Global Flood Prediction: a Multimodal Machine Learning Approach
  C. Zeng*, D. Bertsimas
  Appeared at ICLR, Tackling Climate Change with Machine Learning Workshop (2023)

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Talks

Academic Conference
• ''Catastrophe Insurance: an Adpative Robust Optimization Approach'', INFORMS, Oct. 2023
• ''Reducing Air Pollution through Machine Learning'', INFORMS MSOM, Jun. 2023
• ''Multimodal Machine Learning for Hurricane Forecasting'', INFORMS, Oct. 2022

Others
• TEDx Boston "Why You Should be a Weather Person?" Mar. 2024
• Stanford Energy Seminar "Multimodal Machine Learning and Climate Change Adaptation" Feb. 2024

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Industry Experience

• BlackRock Inc.
  Summer Research Associate
  Jun. - Aug. 2022
  San Francisco (USA)
• SoftBank Vision Fund
  Investment Analyst
  Feb. - Jul. 2019
  Shanghai (China)
• BlackRock Inc.
  Investment Analyst
  Jul. 2017 - Jul. 2018
  London (UK)

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Volunteering

• Himalaya Spirit Academy
  Teacher for english, maths, science for students from grade 1 to grade 5. Scholarship sponsor of one student.
  Nepal, Jul. - Aug. 2015
• Shan Shui Environmental Conservation Center
  Marketing intern for social enterprise "Panda Honey", product made to encourage and preserve the panda habitat in Sichuan province.
  Beijing (China), Jun. - Aug. 2014
• Goat Cheese Farm
  Bretagne (France), Dec. 2015
• Eco Rice Farm
  Taiwan , Jul. 2014
• FETCH! Animal Shelter Club
  Founder and leader of the FETCH! club to volunteer at animal shelter at my high school. Organised weekly visits of small student groups, and fundraising events.
  Beijing (China), 2012 - 2014